Sang Choe


Current: PhD, Carnegie Mellon University
E-mail: sangkeuc [at] cs.cmu.edu
Office: GHC 5511

LinkedIn | Google Scholar | GitHub | CV

Hello

I am on the job market!

I am Sang Choe, a final year CS PhD student in Language Technologies Institute at Carnegie Mellon University, advised by Eric Xing. I foreground practicality in my resarch and enjoy thinking across gradient-based optimization, data-centric AI, distributed ML systems, and ML tooling. Previously, I completed MS in Language Technologies at Carnegie Mellon University under the guidance of Jaime Carbonell. Before that, I earned BS in Electrical Computer Engineering & Mathematics (double major) from Seoul National University. I had also spent time as a research intern at Microsoft in 2021.

News

◆  Released LogIX, a PyTorch library for scalable data valuation, attribution, and interpretability.
◆  Our paper on scalable meta learning got accepted at NeurIPS 2023.
◆  Betty got accepted as an oral presentation at ICLR 2023.
◆  Released Betty, a PyTorch library for easy, scalable, and modular meta-learning.
◆  Received CMU Presidential Scholarship for PhD.
◆  Started research internship at Microsoft in Summer 2021.
◆  Won Jay Lepreau Best Paper Award in OSDI 2021.
Publications

What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions Preprint, 2024
Sang Keun Choe, Hwijeen Ahn*, Juhan Bae*, Kewen Zhao*, Minsoo Kang, Youngseog Chung, Adithya Pratapa, Willie Neiswanger, Emma Strubell, Teruko Mitamura, Jeff Schneider, Eduard Hovy, Roger Grosse, and Eric Xing

Making Scalable Meta Learning Practical NeurIPS, 2023
Sang Keun Choe, Sanket Vaibhav Mehta, Hwijeen Ahn, Willie Neiswanger, Pengtao Xie, Emma Strubell, and Eric Xing

Betty: An Automatic Differentiation Library for Multilevel Optimization [code] ICLR, 2023
Sang Keun Choe, Willie Neiswanger, Pengtao Xie, and Eric Xing
Oral (1.8% acceptance rate)

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning [code] OSDI, 2021
Aurick Qiao, Sang Keun Choe, Suhas Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Greg Ganger, Eric Xing
🏆 Jay Lepreau Best Paper Award

On Orthogonal Jacobian Regularization in Deep Neural Networks SEDL Workshop @ NeurIPS, 2019
Sang Keun Choe*, Hosan Jeong*, Jaime Carbonell

On Leveraging the Visual Modality for Neural Machine Translation INLG, 2019
Vikas Raunak*, Sang Keun Choe*, Quanyang Lu*, Yi Xu*, Florian Metze

Audio Cover Song Identification using Convolutional Neural Network ICASSP, 2017
Sungkyung Chang, Juheon Lee, Sang Keun Choe, Kyogu Lee

Awards

CMU Presidential Scholarship, Carnegie Mellon University
Jay Lepreau Best Paper Award, OSDI
Kwanjeong Scholarship for Graduate Study, Kwanjeong Educational Foundation
Best Undergraduate Engineering Student Award, Seoul National University
Presidential Scholarship for Science and Engineering Study, Korea Student Aid Foundation
Gold Medal, Korea Collegiate Mathematical Competition
Silver Medal, Korea Mathematical Olympiad
Miscellaneous

In my spare time, I serve as a dog walker for my four-year-old bernedoodle, Betty.



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